compare.group_tna

Compare TNA Clusters with Comprehensive Metrics

Provides tools for performing Transition Network Analysis (TNA) to
study relational dynamics, including functions for building and plotting TNA
models, calculating centrality measures, and identifying dominant events and
patterns. TNA statistical techniques (e.g., bootstrapping and permutation
tests) ensure the reliability of observed insights and confirm that
identified dynamics are meaningful. See (Saqr et al., 2025)
<doi:10.1145/3706468.3706513> for more details on TNA.

Sonsoles López-Pernas

Transition Network Analysis (TNA)

compare.group_tna function

<dl><dt>x</dt>
<dd>A <code>group_tna</code> object.</dd>
<dt>i</dt>
<dd>An <code>integer</code> index or the name of the principal cluster as a
<code>character</code> string.</dd>
<dt>j</dt>
<dd>An <code>integer</code> index or the name of the secondary cluster as a
<code>character</code> string.</dd>
<dt>scaling</dt>
<dd>See <code>compare.tna()</code>.</dd>
<dt>...</dt>
<dd>Additional arguments passed to <code>compare.tna()</code>.</dd></dl>

Arguments

Compare TNA Clusters with Comprehensive Metrics — compare.group_tna

<dl>

<dt>x</dt>
<dd>A <code>group_tna</code> object.</dd>


<dt>i</dt>
<dd>An <code>integer</code> index or the name of the principal cluster as a
<code>character</code> string.</dd>


<dt>j</dt>
<dd>An <code>integer</code> index or the name of the secondary cluster as a
<code>character</code> string.</dd>


<dt>scaling</dt>
<dd>See <code>compare.tna()</code>.</dd>


<dt>...</dt>
<dd>Additional arguments passed to <code>compare.tna()</code>.</dd>

</dl>

compare.group_tna: Compare TNA Clusters with Comprehensive Metrics

Description

Usage

Value

Arguments

Examples